Title: Data Quality engineer - Data & Automation Location: Charlotte, NC | Dallas, TX | Chandler, AZ (Hybrid 3 days onsite /2 days remote) This technical role is focused on ensuring the integrity and accuracy of data across visualization dashboards, ETL processes, and automation solutions. As a Data Quality engineer - Data & Automation , you will - Perform comprehensive data quality assurance testing on dashboards and reporting tools. Validate ETL (Extract, Transform, Load) processes to ensure data consistency and accuracy. Collaborate with data engineers, developers, and business analysts to identify and resolve data quality issues. Develop and execute test plans, test cases, and test scripts for automation and data validation. Support the implementation of automation solutions to streamline QA processes. Document QA findings and provide actionable feedback to development teams. Participate in Agile development cycles and contribute to continuous improvement initiatives. n ideal candidate should have- Experience in data quality assurance, data validation, or a related technical QA role. Understanding of ETL processes and data pipelines. Experience with data visualization tools (e.g., Tableau, Power BI). Proficiency in SQL for data analysis and validation. Familiarity with automation frameworks and scripting languages (e.g., Python, Shell). Experience working in financial services or regulated environments. Knowledge of data governance and compliance standards. Familiarity with Agile methodologies and tools (e.g., Jira, Confluence).